Cardiovascular diseases are the number one cause of death globally, taking an estimated 17.9 million lives each year,
which accounts for 31% of all deaths worldwide. Heart failure is a common event caused by CVDs and this dataset contains 11
features that can be used to predict mortality by heart failure. In this project, a model is built using the Random Forest Classifier
Algorithm using Auto AI and a web application is created using Node Red Application and it showcases the prediction of heart
failure in a web based format.